PRST5770R50: Computer-Based Decision Modeling - Reflection 1

A 2 page paper which reflects on the material covered in this module and how it may be beneficial to your professional career.  You may discuss your previous experience, and what you hope to learn from this course.  Also, identify at least one discussion post you found interesting, helpful, or beneficial 

Topics covered in this Module

· Decision Making

· Business Analytics

· Categorization of Analytical Methods & Models

· Big Data

· Business Analytics in Practice

· Legal & Ethical Issues in the Use of Data and Analytics

· Descriptive Statistics

· Definitions and Goals

· Types of Data

· Modifying Data in Excel

· Creating Distributions from Data

· Measures of Location

· Measures of Variability

· Analyzing Distributions

· Measures of Association Between Two Variables

· Data Cleansing

 Learning Objectives

By the end of this module, students should be able to:

· Understand the categorization of analytical methods and models

· Define the Four Vs of Big Data

· Discuss business analytics in practice for multiple industries

· Understand the legal and ethical issues in the use of data and analytics

· Identify the different types of data

· Create and analyze distributions with data

· Sort and filter data in Excel

· Report measures of variability

· Measure association between two variables

· Cleanse data